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. Author manuscript; available in PMC: 2015 Oct 25.
Published in final edited form as: Psychol Med. 2014 Apr 10;44(16):3455–3467. doi: 10.1017/S0033291714000804

Table 4.

Effect of previous mood episodes and illness duration as predictors of likelihood of recovery and time until recovery after adjusting for clinical covariates

Covariates b Wald OR (95% CI) p Δ R 2a
Previous depressive episode models
 Logistic regression: predicting recovery
  Depressive episodes 0.75 4.74 2.12 (1.08–4.16) 0.030 0.07
  Control variables
   Illness duration 0.75 4.17 2.11 (1.03–4.33) 0.041 0.05
   Age at onset 0.78 4.51 2.18 (1.06–4.49) 0.034 0.06
   Number of manic episodes 0.89 4.03 2.46 (1.02–5.91) 0.045 0.07
   Lifetime anxiety disorder 0.72 3.98 2.05 (0.31–1.68) 0.046 0.05
   Number of anxiety disorders 0.66 3.36 1.94 (0.96–3.94) 0.067 0.06
   Number of co-morbid conditions 0.78 4.86 2.17 (1.09–4.33) 0.027 0.06
   All covariates togetherb 0.72 3.27 2.05 (0.94–4.47) 0.071 0.06
 Cox regression: predicting time until recovery
  Depressive episodes 0.43 5.06 1.53 (1.06–2.22) 0.024 0.05
  Control variables
   Illness duration 0.32 2.72 1.38 (0.94–2.03) 0.099 0.07
   Age at onset 0.40 4.14 1.50 (1.02–2.20) 0.042 0.05
   Number of manic episodes 0.29 1.29 1.33 (0.81–2.19) 0.256 0.07
   Lifetime anxiety disorder 0.37 3.47 1.44 (0.98–2.12) 0.062 0.05
   Number of anxiety disorders 0.33 2.76 1.39 (0.94–2.06) 0.097 0.05
   Number of co-morbid conditions 0.43 4.78 1.53 (1.05–2.24) 0.029 0.05
   All covariates togetherb 0.10 0.15 1.11 (0.65–1.88) 0.704 0.09
Previous manic episode models
 Cox regression: predicting time until recovery
  Manic episodes 0.55 5.06 1.73 (1.07–2.78) 0.025 0.06
  Control variables
   Illness duration 0.51 4.37 1.67 (1.03–2.69) 0.037 0.08
   Age at onset 0.54 4.93 1.72 (1.07–2.77) 0.026 0.06
   Number of depressive episodes 0.47 3.49 1.61 (0.98–2.64) 0.062 0.07
   Lifetime anxiety disorder 0.48 3.74 1.62 (0.99–2.63) 0.053 0.06
   Number of anxiety disorders 0.47 3.57 1.60 (0.98–2.60) 0.059 0.06
   Number of co-morbid conditions 0.55 5.00 1.73 (1.07–2.78) 0.025 0.06
   All covariates togetherb 0.42 2.54 1.52 (0.91–2.54) 0.111 0.09
Illness duration models
 Cox regression: predicting time until recovery
  Illness duration −0.02 6.29 0.98 (0.97–0.99) 0.012 0.06
  Control variables
  Age at onset −0.02 5.35 0.98 (0.97–1.00) 0.021 0.06
  Number of manic episodes −0.02 4.08 0.99 (0.97–1.00) 0.043 0.08
  Number of depressive episodes −0.02 4.05 0.99 (0.97–1.00) 0.044 0.07
  Lifetime anxiety disorder −0.02 6.95 0.98 (0.97–1.00) 0.008 0.07
  Number of anxiety disorders −0.02 6.68 0.98 (0.97–1.00) 0.010 0.07
  Number of co-morbid conditions −0.02 6.35 0.98 (0.97–1.00) 0.012 0.06
  All covariates togetherb −0.02 4.88 0.98 (0.97–1.00) 0.027 0.09

OR, Odds ratio; CI, confidence interval.

a

R2 for logistic regressions represents Nagelkerke R2, an estimate of the increment in variance in the probability of recovery accounted for by the predictors tested. R2 for Cox regressions represents Cox–Snell R2, an estimate of the relative association between survival and the predictors tested.

b

All covariates denote a model where all covariates listed above for a given model were entered as a set of variables into the model. Covariates were added first individually to examine the effect of each covariate, and then added as a group of covariates to test their combined effect.